Systems and methods for mitigating optical crosstalk in a light ranging and detection system

ABSTRACT

Described herein are systems and methods for improving detection of multi-return light signals, and more particularly to the mitigation of optical crosstalk in a Light Detection And Ranging (LIDAR) system. The methods may include cycling a passive state, where the LIDAR system receives returns from other optical sources, and in an active state, where the LIDAR system receives returns from its laser firing and from the other optical sources. By comparing the returns from the passive state and active state, crosstalk from the other optical sources may be removed. Other methods may include (1) phase locking intra LIDAR systems to fire their laser in different directions from one another; and (2) when two inter LIDAR system are firing a laser beam at one another within a field of view threshold, each inter LIDAR system may ignore the signal return from the other inter LIDAR system.

BACKGROUND A. Technical Field

The present disclosure relates generally to systems and methods for improving detection of multi-return light signals, and more particularly to the mitigation of optical crosstalk in a Light Detection And Ranging (LIDAR) system.

B. Background

LIDAR systems use a pulse of light to measure distance, usually based on time of flight (TOF), i.e., the time of light transmission to an object and the time of the return reflection. With a collection of these measurements, LIDAR system can determine their surroundings in two or three dimensions. LIDAR systems are used as one of the sensor systems for self-driving cars, in addition to cameras and other radar systems.

Mobile pulse scanning LIDAR systems are essential components of intelligent vehicles capable of autonomous travel. Obstacle detection functions of autonomous vehicles require very low failure rates. With the increasing number of autonomous vehicles equipped with scanning LIDAR systems to detect and avoid obstacles and navigate safely through the environment, the probability of mutual interference and optical crosstalk can become an important issue. In simple terms, optical crosstalk may occur when a LIDAR system detects and processes a laser beam transmitted by another LIDAR system. With autonomous vehicles being configured with multiple LIDAR systems, the opportunity for interference may significantly increases. The reception of foreign laser pulses at each LIDAR system can lead to problems such as ghost targets or a reduced signal-to-noise ratio.

Accordingly, what is needed are systems and methods that can the mitigation of optical crosstalk in a LIDAR system.

BRIEF DESCRIPTION OF THE DRAWINGS

References will be made to embodiments of the invention, examples of which may be illustrated in the accompanying figures. These figures are intended to be illustrative, not limiting. Although the invention is generally described in the context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments. Items in the figures are not to scale.

Figure (“FIG.”) 1 depicts the operation of a light detection and ranging system according to embodiments of the present document.

FIG. 2 illustrates the operation of a light detection and ranging system and multiple return light signals according to embodiments of the present document.

FIG. 3A depicts a LIDAR system with a rotating mirror according to embodiments of the present document.

FIG. 3B depicts a LIDAR system with rotating electronics in a rotor-shaft structure comprising a rotor and a shaft according to embodiments of the present document.

FIG. 3C depicts a crosstalk model with multiple sources according to embodiments of the present invention.

FIG. 4A and FIG. 4B depict an embodiment 400 of two vehicles each with multiple LIDAR systems according to embodiments of the present document.

FIG. 5A is a graphical illustration of an interference pattern due to a difference in oscillator frequencies and velocities of two LIDAR systems according to embodiments of the present document.

FIG. 5B depicts a timing pattern for two LIDAR systems according to embodiments of the present document.

FIG. 5C depicts observed laser signals at Sensor A and Sensor B according to embodiments of the present disclosure.

FIG. 6A depicts a timing pattern for laser firing of a LIDAR system cycling between a passive state to an active state according to embodiments of the present document.

FIG. 6B is a graphical illustration of a passive and active returns according to embodiments of the present document.

FIGS. 7A, 7B, and 7C depicts block diagrams of a controller, a passive detector, and an active detector according to embodiments of the present document.

FIG. 8A depicts a flowchart for a method of mitigating crosstalk in a LIDAR system according to embodiments of the present document.

FIG. 8B depicts a flowchart for a method of mitigating crosstalk in a LIDAR system based on passive and active states according to embodiments of the present document.

FIG. 9 depicts a simplified block diagram of a computing device/information handling system, in accordance with embodiments of the present document.

DETAILED DESCRIPTION OF EMBODIMENTS

In the following description, for purposes of explanation, specific details are set forth in order to provide an understanding of the invention. It will be apparent, however, to one skilled in the art that the invention can be practiced without these details. Furthermore, one skilled in the art will recognize that embodiments of the present invention, described below, may be implemented in a variety of ways, such as a process, an apparatus, a system, a device, or a method on a tangible computer-readable medium.

Components, or modules, shown in diagrams are illustrative of exemplary embodiments of the invention and are meant to avoid obscuring the invention. It shall also be understood that throughout this discussion that components may be described as separate functional units, which may comprise sub-units, but those skilled in the art will recognize that various components, or portions thereof, may be divided into separate components or may be integrated together, including integrated within a single system or component. It should be noted that functions or operations discussed herein may be implemented as components. Components may be implemented in software, hardware, or a combination thereof.

Furthermore, connections between components or systems within the figures are not intended to be limited to direct connections. Rather, data between these components may be modified, re-formatted, or otherwise changed by intermediary components. Also, additional or fewer connections may be used. It shall also be noted that the terms “coupled,” “connected,” or “communicatively coupled” shall be understood to include direct connections, indirect connections through one or more intermediary devices, and wireless connections.

Reference in the specification to “one embodiment,” “preferred embodiment,” “an embodiment,” or “embodiments” means that a particular feature, structure, characteristic, or function described in connection with the embodiment is included in at least one embodiment of the invention and may be in more than one embodiment. Also, appearances of the above-noted phrases in various places in the specification are not necessarily all referring to the same embodiment or embodiments.

The use of certain terms in various places in the specification is for illustration and should not be construed as limiting. A service, function, or resource is not limited to a single service, function, or resource; usage of these terms may refer to a grouping of related services, functions, or resources, which may be distributed or aggregated.

The terms “include,” “including,” “comprise,” and “comprising” shall be understood to be open terms and any lists the follow are examples and not meant to be limited to the listed items. Any headings used herein are for organizational purposes only and shall not be used to limit the scope of the description or the claims. Each reference mentioned in this patent document is incorporate by reference herein in its entirety.

Furthermore, one skilled in the art shall recognize that: (1) certain steps may optionally be performed; (2) steps may not be limited to the specific order set forth herein; (3) certain steps may be performed in different orders; and (4) certain steps may be done concurrently.

C. Light Detection and Ranging System

Light detection and ranging systems, such as LIDAR systems, may employ pulses of light to measure distance to an object based on the time of flight (TOF) of each pulse of light. A pulse of light emitted from a light source of a light detection and ranging system interacts with a distal object. A portion of the light reflects from the object and returns to a detector of the light detection and ranging system. Based on the time elapsed between emission of the pulse of light and detection of the returned pulse of light, the distance to the object may be estimated. In some embodiments, pulses of light may be generated by a laser emitter. The light pulse may be focused through a lens or lens assembly. The light pulse may hit multiple objects, each having a different distance from the laser, causing multi-return signals to be received by the light detection and ranging system detector. Multi-return signals may provide more information of the environment to improve mapping or reconstruction. A dedicated detector may be required to precisely identify each return with its associated time delay information

Accordingly, a light detection and ranging system, such as a LIDAR system, may be a tool to measure the shape and contour of the environment surrounding the system. LIDAR systems may be applied to numerous applications including both autonomous navigation and aerial mapping of a surface. LIDAR systems emit a light pulse that is subsequently reflected off an object within the environment in which a system operates. The time each pulse travels from being emitted to being received may be measured (i.e., time-of-flight “TOF”) to determine the distance between the object and the LIDAR system. The science is based on the physics of light and optics.

In a LIDAR system, light may be emitted from a rapidly firing laser. Laser light travels through a medium and reflects off points of things in the environment like buildings, tree branches and vehicles. The reflected light energy returns to a LIDAR receiver (detector) where it is recorded and used to map the environment.

FIG. 1 depicts operation 100 of a light detection and ranging system according to embodiments of the present document. Included are light detection and ranging components 102 and data analysis & interpretation 109 according to embodiments of the present document. Light detection and ranging components 102 may comprise a transmitter 104 that transmits emitted light signal 110, receiver 106 comprising a detector, and system control and data acquisition 108. Emitted light signal 110 propagates through a medium and reflects off object 112. Return light signal 114 propagates through the medium and is received by receiver 106. System control and data acquisition 108 may control the light emission by transmitter 104 and the data acquisition may record the return light signal 114 detected by receiver 106. Data analysis & interpretation 109 may receive an output via connection 116 from system control and data acquisition 108 and perform data analysis functions. Connection 116 may be implemented with a wireless or non-contact communication method. Transmitter 104 and receiver 106 may include optical lens and mirrors (not shown). Transmitter 104 may emit a laser beam having a plurality of pulses in a particular sequence. In some embodiments, light detection and ranging components 102 and data analysis & interpretation 109 comprise a LIDAR system.

FIG. 2 illustrates the operation 200 of light detection and ranging system 202 including multiple return light signals: (1) return signal 203 and (2) return signal 205 according to embodiments of the present document. Light detection and ranging system 202 may be a LIDAR system. Due to the laser's beam divergence, a single laser firing often hits multiple objects producing multiple returns. The light detection and ranging system 202 may analyze multiple returns and may report either the strongest return, the last return, or both returns. Per FIG. 2, light detection and ranging system 202 emits a laser in the direction of near wall 204 and far wall 208. As illustrated, the majority of the beam hits the near wall 204 at area 206 resulting in return signal 203, and another portion of the beam hits the far wall 208 at area 210 resulting in return signal 205. Return signal 203 may have a shorter TOF and a stronger received signal strength compared with return signal 205. Light detection and ranging system 202 may record both returns only if the distance between the two objects is greater than minimum distance. In both single and multiple return LIDAR systems, it is important that the return signal is accurately associated with the transmitted light signal so that an accurate TOF is calculated.

Some embodiments of a LIDAR system may capture distance data in a 2-D (i.e. single plane) point cloud manner. These LIDAR systems may be often used in industrial applications and may be often repurposed for surveying, mapping, autonomous navigation, and other uses. Some embodiments of these devices rely on the use of a single laser emitter/detector pair combined with some type of moving mirror to effect scanning across at least one plane. This mirror not only reflects the emitted light from the diode, but may also reflect the return light to the detector. Use of a rotating mirror in this application may be a means to achieving 90-180-360 degrees of azimuth view while simplifying both the system design and manufacturability.

FIG. 3A depicts a LIDAR system 300 with a rotating mirror according to embodiments of the present document. LIDAR system 300 employs a single laser emitter/detector combined with a rotating mirror to effectively scan across a plane. Distance measurements performed by such a system are effectively two-dimensional (i.e., planar), and the captured distance points are rendered as a 2-D (i.e., single plane) point cloud. In some embodiments, but without limitations, rotating mirrors are rotated at very fast speeds e.g., thousands of revolutions per minute. A rotating mirror may also be referred to as a spinning mirror.

LIDAR system 300 comprises laser electronics 302, which comprises a single light emitter and light detector. The emitted laser signal 301 may be directed to a fixed mirror 304, which reflects the emitted laser signal 301 to rotating mirror 306. As rotating mirror 306 “rotates”, the emitted laser signal 301 may reflect off object 308 in its propagation path. The reflected signal 303 may be coupled to the detector in laser electronics 302 via the rotating mirror 306 and fixed mirror 304.

FIG. 3B depicts a LIDAR system 350 with rotating electronics in a rotor-shaft structure comprising a rotor 351 and a shaft 361 according to embodiments of the present document. Rotor 351 may have a cylindrical shape and comprise a cylindrical hole in the center of rotor 351. Shaft 361 may be positioned inside the cylindrical hole. As illustrated, rotor 351 rotates around shaft 361. These components may be included in a LIDAR system. Rotor 351 may comprise rotor components 352 and shaft 361 may comprise shaft components 366. Included in rotor components 352 is a top PCB and included in shaft components 366 is a bottom PCB. In some embodiments, rotor components 352 may comprise light detection and ranging components 102 and shaft components 366 may comprise data analysis & interpretation 109 of FIG. 1.

Coupled to rotor components 352 via connections 354 are ring 356 and ring 358. Ring 356 and ring 358 are circular bands located on the inner surface of rotor 351 and provide electrode plate functionality for one side of the air gap capacitor. Coupled to shaft components 366 via connections 364 are ring 360 and ring 362. Ring 360 and ring 362 are circular bands located on the outer surface of shaft 361 and provide electrode plate functionality for the other side of the air gap capacitor. A capacitor C1 may be created based on a space between ring 356 and ring 360. Another capacitor C2 may be created based on a space between ring 358 and ring 362. The capacitance for the aforementioned capacitors may be defined, in part, by air gap 368.

Ring 356 and ring 360 are the electrode plate components of capacitor C1 and ring 358 and ring 362 are the electrode plate components of capacitor C2. The vertical gap 370 between ring 356 and ring 358 may impact the performance of a capacitive link between capacitor C1 and capacitor C2 inasmuch as the value of the vertical gap 370 may determine a level of interference between the two capacitors. One skilled in the art will recognize that rotor 351 and shaft 361 may each comprise N rings that may support N capacitive links.

As previously noted, the time of flight or TOF is the method a LIDAR system uses to map the environment and provides a viable and proven technique used for detecting target objects. Simultaneously, as the lasers fire, firmware within a LIDAR system may be analyzing and measuring the received data. The optical receiving lens within the LIDAR system acts like a telescope gathering fragments of light photons returning from the environment. The more lasers employed in a system, the more the information about the environment may be gathered. Single laser LIDAR systems may be at a disadvantage compared with systems with multiple lasers because fewer photons may be retrieved, thus less information may be acquired. Some embodiments, but without limitation, of LIDAR systems have been implemented with 8, 16, 32 and 64 lasers. Also, some LIDAR embodiments, but without limitation, may have a vertical field of view (FOV) of 30-40° with laser beam spacing as tight as 0.3° and may have rotational speeds of 5-20 rotations per second.

The rotating mirror functionality may also be implemented with a solid state technology such as MEMS.

D. Methods for Mitigating Optical Crosstalk in a LIDAR System

With the growth of LIDAR systems in autonomous driving, optical crosstalk or simply crosstalk may become a significant issue. Crosstalk may also be referred to as mutual interference. FIG. 3C depicts a crosstalk model 380 with multiple sources according to embodiments of the present invention. As illustrated, there are four vehicles on the highway, vehicle A, vehicle B, vehicle C, and vehicle D. The solid line indicates the laser signal generated by vehicle A and reflected off vehicle B. The dashed line indicates the line-of-sight crosstalk (LOS-C) from vehicle C heading in the opposite direction to vehicle A. The dotted line indicates the reflective crosstalk (R-C) from vehicle D heading in the same direction as vehicle A. Not shown in crosstalk model 380 is crosstalk between two LIDAR systems that are co-located on the same vehicle.

FIG. 4A and FIG. 4B depict two vehicles each with multiple LIDAR systems according to embodiments of the present document. In FIG. 4A, intra vehicle 402 comprises five LIDAR systems, L1, L2, L3, L4, and L5. The arrow projecting from the circle of L1, L2, L3, L4, and L5 indicates the direction of a laser firing. In proximity to intra vehicle 402 is inter vehicle 404 which also comprises five LIDAR systems. As indicated by crosstalk model 380, intra vehicle 402 and inter vehicle 404 may generate multiple forms of crosstalk. As discussed herein, there may be a number of methods to minimize crosstalk. The methods may include, but without limitation, laser firing phase lock (PV) between LIDAR systems, analysis of a difference between oscillators of LIDAR systems, analysis of a difference of velocity between two vehicles, disregarding or ignoring return signals in a certain field of view (FOV) between two LIDAR systems, and passive/active reception comparisons.

1. Phase Lock (PL)

The phase lock (PV) method or phase locking may be described relative to FIG. 4A and FIG. 4B. The phase locking may be controlled by a computer on a vehicle. With instructions, the computer directs or re-aligns laser firing of LIDAR systems in different directions from one another to mitigate intra vehicle interference. That is, on intra vehicle 402, to the maximum extent possible, point the firing of LIDAR systems L1, L2, L3, L4, and L5 away from each other to minimize intra interference. Otherwise, the laser beams may bounce off each other. As the intra LIDAR systems are rotating, it may be desirable to point the LIDAR systems to a particular encoding position. Per FIG. 4A and FIG. 4B, four of the five laser systems of intra vehicle 402 are each directed in a different direction. On intra vehicle 402, L1, L2, L3 and L4 are directed to fire in different directions, with the angle of separation 90 degrees or 180 degrees. Phase locking may be implemented at other angles of separation. As an angle of separation for a firing direction of two LIDAR systems increases, the mitigation of crosstalk increases for the two LIDAR systems. That is, a greater angle of separation may result is a greater mitigation of intra crosstalk. This method may substantially mitigate intra crosstalk between L1, L2, L3 and L4. L5 is directed in the same direction as L4, but L4 and L5 have a physically separation on intra vehicle 402, which may reduce crosstalk between L4 and L5. The objective for the phase locking is for the five LIDAR systems on intra vehicle 402 to rotate in phase lock such that the angle of separation of the laser firings is maintained. Phase locking may reduce the intra crosstalk by 50-60%.

LIDAR systems on inter vehicle 404, may or may not be able to implement phase locking with LIDAR systems on intra vehicle 402 inasmuch as LIDAR systems L6, L7, L8, L9, and L10 may not be synchronized or in phase lock with LIDAR systems L1, L2, L3, L4, and L5.

2. Field of View (FOV)

The crosstalk between LIDAR systems on different vehicles, such as intra vehicle 402 and an inter vehicle 404, may be mitigated by managing return signals having a particular field of view (FOV). The method may be based on ignoring reception or not transmitting lasers when two LIDAR systems on different vehicles are firing laser beams at each other and they each have a field of view less than a threshold. In one embodiment, two LIDAR systems may disregard, i.e., ignore, received signals from each other when each LIDAR system is firing lasers at the other LIDAR system within a specific field of view or angle range, i.e., field of view threshold. In another embodiment, the LIDAR system may not transmit, i.e., or may stop or suppress laser firing, when a received laser signal is sensed to be within a specific field of view. For example, referring to FIG. 4A and FIG. 4B, L4 and L6 are pointing at each other with field of views, FOV1 and FOV2. FOV1 and FOV2 are each less than a specified field of view or field of view threshold. When this status is determined, L4 and/or L6 may ignore, i.e., not process the reception of the laser signal from the other LIDAR system. This method may mitigate the inter crosstalk for both L4 and/or L6. Alternatively L4 may stop transmitting a laser when the when L4 senses that field of view FOV2 of L6 is less than the field of view threshold, and vice-versa. In some embodiments, the field of view threshold may be ±15 degrees. This field of view method may be implemented separately from other methods described herein. For example, FOV interference reduction may be implement independent of passive/active interference reduction and phasing locking interference reduction.

3. Differences of Oscillator Frequency

Observations related to differences in oscillator frequencies of the LIDAR systems and differences in the velocity of the LIDAR systems may further mitigate crosstalk. The oscillator may be, but without limitation, a crystal oscillator. The oscillator may or may not be synchronized with an external time sources such as GPS, cellar or Wi-Fi.

FIG. 4A may illustrate the difference in the oscillator frequencies for each of the LIDAR systems in intra vehicle 402 compared with the oscillator frequencies of each of the LIDAR systems in inter vehicle 404. For example, the analysis may include a comparison between the oscillator frequencies of L1 compared with L9, etc. With an appropriate adjustments to respective LIDAR systems in intra vehicle 402 and inter vehicle 404 may allow synchronization between these LIDAR systems and may allow implementation of the phase lock method to mitigate crosstalk. This adjustment may be based on, for example, L5 observing L10 and adjusting its oscillator frequency to align with the crystal frequency of L10. There may not be any formal coordination between L5 and L10.

An analysis differences in oscillator frequencies may include observing the timing of the laser firing of a second LIDAR system relative to a first LIDAR system. When the first and second LIDAR systems fire at the same time, the first and second LIDAR systems may be consider an incident event and a specific “blink” rate. Overtime, the first LIDAR system may observe a faster “blink” rate from the second LIDAR system indicating that the second LIDAR system has a different oscillator frequency than the first LIDAR system. Between first and second LIDAR systems there is no coordination or negotiations related to oscillator frequencies. Based on these observations, the first LIDAR system may improve its interference based on its knowledge of the “blink” rate. The blink rate s further discussed relative to FIG. 5C.

The oscillator frequencies of the second LIDAR system are unknown to the first LIDAR system. The objective is to “see” a pattern of interference based on the unknown oscillator speed differences.

FIG. 5A is a graphical illustration of an interference pattern 500 due to a difference in oscillator frequencies or difference in velocities of two LIDAR systems according to embodiments of the present document. Interference pattern 500 may illustrate movement of interference or an interference cluster. Some aspects of Interference pattern 500 included the following: Interference clusters appear to move towards and away from a sensor. Interference cluster may form an arc (equal radius) from the center of the sensor. Azimuth and multiple patterns of interferences clusters vary by rotational RPM.

A delta in oscillator frequencies may be analyzed via an x-y mapping of oscillator frequencies of two sensors to generate the interference pattern 500. FIG. 5A indicates that interference clusters may move away from one sensor and towards the other sensor depending on f_(CLK_A) versus f_(CLK_B). The speed of the interference clusters may be proportional to Δf=f_(CLK_A)−f_(CLK_B). If Δf=0, the interference clusters may remain stationary. Under some conditions, interference cluster pattern 502 indicates there is a difference between f_(CLK_A) and f_(CLK_B). Under other conditions, when Δf=0, an interference arc 504 is formed and is static in in interference pattern 500. If the Δf≠0, then interference arc 504 moves in our out, as indicated by dotted line 506. This is discussed further in relative to FIG. 5B. The interference pattern 500 may be useful to make appropriate adjustments to mitigate crosstalk.

FIG. 5B depicts a timing patterns 510 for two LIDAR systems comprising Sensor A and Sensor B, according to embodiments of the present document. Sensor A has a clock frequency of f_(CLK_A) and Sensor B has a clock frequency of f_(CLK_B). The timing patterns indicate the frames in the timing pattern with timeslots 1-N. In some embodiments, associated with each frame may be a laser position firing time (LPOS), indicated by a vertical line adjacent to the frame.

Also indicated on FIG. 5B is (1) the laser fire of Sensor A appearing as a return on the timing diagram of Sensor B (517), and (2) the laser fire of Sensor B appearing as a return on the timing diagram of Sensor A (518). The timing differences, i.e., the delta of the oscillator frequencies, may generate crosstalk between Sensor A and Sensor B.

FIG. 5C depicts observed laser signals at Sensor A and Sensor B according to embodiments of the present disclosure. At Sensor A, signal 511 and signal 512 are known signals of Sensor A. By observation, signal 513 is a crosstalk signal from Sensor B. The blink rate of signal 511, signal 512, and signal 513 may not match the known signaling pattern of Sensor A. Similarly, at Sensor B, signal 514 and signal 516 are known signals of Sensor A. By observation, signal 514 is a crosstalk signal from Sensor B. The blink rate of signal 514, signal 515, and signal 516 does not match the known signaling pattern of Sensor B. From these observations, Sensor A may deleted signal 513 from its signal pattern, and Sensor B may deleted signal 515 from its signal pattern.

As an analogy, Sensor A and Sensor B may be lighthouses. When located at Sensor A, the blinking from Sensor B may be observed. From this observation, blinks that are viewed from Sensor B, but not in Sensor A may be ignored.

4. Difference in Velocity

An additional consideration to allow improvements in mitigating crosstalk utilizing the PV method may include an analysis of the delta in the speed between the each of the LIDAR system of intra vehicle 402 and each of the LIDAR systems of inter vehicle. Per FIG. 4A and FIG. 4B, intra vehicle 402 and inter vehicle 404 may have speeds of V1 and V2 respectively. A difference in these speeds may contribute to crosstalk for intra vehicle 402 and inter vehicle 404. A difference of V1 and V2 reflecting a movement between intra vehicle 402 and inter vehicle 404 may cause changes in the interference pattern 520. An appropriate adjustment based on the difference in the difference of V1 and V2 may mitigate the crosstalk. [DG—please review]]

5. Passive States and Active States

A method for mitigating crosstalk utilizing passive and active states may be based on the principle of comparing the signal returns of 1) a passive state where the LIDAR system is receiving returns, but not firing its lasers, and 2) an active state where the LIDAR system is receiving returns and firing its lasers. In an active return, a LIDAR system receives normal returns during a normal operation. The LIDAR system fires and returns are captured immediately thereafter. In a passive return, a LIDAR system captures returns in a LPOS cycles without laser stimulation by the LIDAR system. The captures returns in a passive state are from other optical sources. These sources may be other LIDAR systems. Thus, in the passive return, interference is received by the LIDAR system. In the active return, interference and “real” return signals based on the LIDAR systems laser firing are received. In the active return, interference may be removed based on the comparison between the passive return and active return. Effectively, during the passive state, a mold is defined, which a LIDAR system may utilize to filter out the interference received in the active state. The period of time for the active state may be referred to as an active cycle. The period of time for the passive state may be referred to as a passive cycle.

FIG. 6A depicts a timing pattern 600 for a laser firing of a LIDAR system cycling between a passive state to an active state according to embodiments of the present document. When in the passive state (or cycle), laser firing by the LIDAR system is suppressed. During the active state (or cycle) the laser firing by the LIDAR system is “active”. This includes suppressing laser power control feedback so that passive cycles do not affect laser power setting of active cycles. Per timing pattern 600, laser power may only be calculated and adjusted for active cycles.

FIG. 6B is a graphical illustration of a passive and active returns 620 according to embodiments of the present document. The passive return is indicated by Passive LPOS 622. Passive LPOS 622 illustrates detection by a first LIDAR system of a passive return peak 623, i.e., a return from a second LIDAR system. The active return is indicated by Active LPOS 624, where LPOS is the laser position firing time. Active LPOS 624 illustrates a laser fire 625 from the first LIDAR system, a real active return 626 based on the laser fire 625 of the first LIDAR system, and removal of an active return peak 627 (artifact) that was based on the passive return peak 623 from the second LIDAR system.

In one embodiment, a Notch filter operation, the first LIDAR system may occasionally sample the passive returns. The first LIDAR system may be implemented with a selective notch filter in firmware to filter any returns that may lie on the same radius as the received passive returns, or detected passive returns. The artifact may be removed from the next active capture. The Notch filter operation must detect and predict the next interference return, i.e., the next interference cluster pulse.

In another embodiment, in a consumer based process operation, a LIDAR system alternatively samples and passes returns with active ones for each firing cycle. That is, the LIDAR system repeats a cycle of passive state and active state execution to further mitigate crosstalk. Passive returns may hint at where interference clusters may appear on active return captures. The consumer process may recognize, filter, track and ignore selected active returns. Consumer refers to customer system handling processing.

In some embodiments previously discussed, the interference, e.g., passive return peak 623, may be detected during the passive cycle, and may be removed during the active cycle, e.g., removed from the received return signal, Active LPOS 624. In some other embodiments, the interference may be deleted directly from the active return as described in the following configurations:

In-Acquisition—As data is collected, the LIDAR system may selectively remove the interference directly from the return.

Post-Acquisition or post storage—Collect a number of returns and store the data including a location. For example, return 1 is at x1, return 2 is at x2, and x1 is at y1; if can correlate x1 and y1, then x2 may be selected.

Post Return—Upon returning, given x1 or x2; given y1; if can correlate x1 and y1, then remove x2. In this case the data for x2 is lost.

Another embodiment may apply a random and varying timeslot shift with between intra systems. This random shift may create an appearance of solid interference cluster to break apart and lessen relevance in post processing.

E. LIDAR Systems for Mitigating Optical Crosstalk

FIGS. 7A, 7B, and 7C depicts block diagrams 700 of a controller 702, a passive detector 720, and an active detector 730, respectively, according to embodiments of the present document. Controller 702 may control the functions of active state 704 and passive state 706, which are coupled timer 710. The outputs of active state 704 and passive state 706 are coupled to interference filter 708, which in turn generates an output for other LIDAR system functions.

Passive detector 720 may comprise receiver Rx 721 and Peak Detector 722. Receiver Rx 721 receives a passive return 723 and after processing, couples the output of receiver Rx 721 to peak detector 722. Peak detector 722 generates detected passive return 724, which may include interference signals and peaks. An example of detected passive return 724 may be Passive LPOS 622 of FIG. 6B.

Active detector 730 may comprise receiver Rx 731, peak detector 732, interference cancellation 736, Mux 738, interference cancellation 740, and transmitter Tx 734. The inputs to receiver Rx 731 include received passive return 733 and a transmitted laser beam 735, which is the output from transmitter Tx 734, which comprises a LIDAR laser firing. In one mode of operation, the output of receiver Rx 721 may be coupled to peak detector 732, which in turn is coupled to interference cancellation 736, which in turn generates an output, detected active return 737 via Mux 738. Interference from received passive return 733 may be removed in detected active return 737. An example of detected active return 737 may be Active LPOS 624 the interference from received passive return 733. Alternatively, the output of receiver Rx 721 may be coupled to interference cancellation 740. Interference cancellation 740 includes a template and dynamic placement. The output of interference cancellation 740 generates detected active return 737 via Mux 738. [DG-review]

Active detector 730 may be operable to generate, in the active state, an active return comprises a return signal based on the transmitted laser beam 735 of the LIDAR system and interference signals. The interference signals are subsequently removed

A vehicle, comprising two or more LIDAR systems, may comprise a computer to direct and coordinate operations of the two or more LIDAR systems. In one example, but without limitation, the coordination of intra LIDAR systems to implement phase locking may be managed by the computer.

F. Methods for Mitigating Optical Crosstalk in a LIDAR System

FIG. 8A depicts a flowchart 800 for a method of mitigating optical crosstalk in a LIDAR system according to embodiments of the present document. The method may comprise the following steps:

Phase Lock—Phase locking the direction of laser firing on LIDAR systems located on the same vehicle in different direction. The greater the different direction, the greater the reduction of intra crosstalk. As an example, but without limitation, different direction may be 90 degrees or 180 degrees. Phase locking may be controlled by a computer on the vehicle or at a remote site. Hence, the computer may mitigate intra vehicle crosstalk by phase locking two or more LIDAR systems on a vehicle to cause their lasers to fire with different angles of separation from each other. As an angle of separation increases, the reduction of crosstalk may increase. (step 802)

Field of View—A field of view crosstalk reduction may result by ignoring (or disregarding) returns when two LIDAR system lasers are pointing at one another and they have a FOV less than a field of view threshold. Alternatively, stopping the laser firing when two LIDAR system lasers are pointing at one another and they have a FOV of ±15 degrees. In one embodiment, the field of view threshold may be ±15 degrees. (step 804)

Difference in oscillator frequencies—A reduction in crosstalk in an active return may result when a difference in oscillator frequencies between two LIDAR systems is observed. The difference may be observed on an interference pattern. The reduction may be based on selectively removing interference peaks based on the interference pattern observation. (step 806)

Difference in velocities—A reduction in crosstalk in active return may result when a difference in velocity between two LIDAR systems is observed. The difference may be observed on an interference pattern. The reduction may be based on selectively removing interference peaks based on the interference pattern observations. (step 808)

Passive/Active State—Operating the LIDAR system in a passive state, wherein in the passive state the LIDAR system does not transmit laser signals while receiving return signals from other optical sources, e.g., other LIDAR systems. Subsequently, operating the LIDAR system in an active state, wherein in the active state the LIDAR system has laser firings and receives return signals comprising returns based on the laser firings of the LIDAR system and from the other optical sources. Comparing the passive return with the active returns to determine the interference elements in the active return. Removing from the active return the one or more returns from the other LIDAR systems comprising interference elements based on the comparison. (step 810)

FIG. 8B depicts a flowchart 820 for a method of mitigating crosstalk in a LIDAR system based on passive and active states according to embodiments of the present document. The method comprise the steps of:

Initiating a passive state comprising no laser firing by the LIDAR system. (step 822)

Receiving a passive return comprising signals from other optical sources (interference). (step 824)

Initiating an active state comprising laser firing by the LIDAR system. (step 826)

Receiving an active return comprising return signals based on the laser firings of the LIDAR system and signals from the other optical sources. (step 828)

Comparing passive return and active return. (step 830)

Removing interference from the active return. (step 830)

With the consumer based process mode, repeating a cycle of passive state and active state execution to further mitigate crosstalk. With the notch filter mode, occasionally sampling passive returns before executing active returns (step 832)

In summary, a method for mitigating crosstalk in a network for a LIDAR network comprising intra vehicle LIDAR systems and inter vehicle LIDAR systems comprises phase locking intra vehicle LIDAR systems, executing a field of view reduction for pairs of inter vehicle LIDAR systems; executing a sequence of passive states and active states for each LIDAR system.

The phase locking intra vehicle LIDAR systems comprises directing a laser of each of the intra vehicle LIDAR systems to fire in a different direction from other intra vehicle systems. That is, a computer may mitigate intra vehicle crosstalk by phase locking two LIDAR systems on a vehicle causing their lasers to fire in different directions from each other. When a pair of inter vehicle LIDAR systems are firing their laser beams at each other within a field of view threshold, the pair of inter vehicle LIDAR systems mutually ignore respective return signals.

For each of the intra vehicle LIDAR systems and the inter vehicle LIDAR system: 1) receiving, during the passive state by each of the LIDAR systems, a passive return comprising one or more returns from other optical sources. A passive state comprises a suppression of a laser firing by the LIDAR system; 2) receiving, during the active state by the each of the LIDAR systems, an active return comprising the returns cause by the laser firing of the each of the LIDAR system and the one or more returns from the other optical sources; 3) comparing, by the each of the LIDAR systems, the passive return and the active return; and 4) removing, by the each of the LIDAR systems, from the active return, the one or more returns from the other optical sources included in the passive return to mitigate crosstalk.

G. Results

It shall be noted that these experiments and results are provided by way of illustration and were performed under specific conditions using a specific embodiment or embodiments; accordingly, neither these experiments nor their results shall be used to limit the scope of the disclosure of the current patent document.

Observations from experiments may suggest the following: For the consumer based process mode, the implementation appears to be at a lower level of complexity and relatively straight-forward to implement. The consumer based process mode may have to sacrifice many active LPOS captures in order to provide useful passive data. Also, the consumer based mode may turn interference clusters into shadows.

For the notch filter mode, the interference cluster tracking may result from LPOS to LPOS. This means the LIDAR system may be able to filter out interference as a first stage from an ADC. Multiple interference clusters may be able to be tracked. Alternatively, the LIDAR system may remove a valid return overlapping with interference clusters. The notch filter mode may turn interference clusters into shadows. Also, the notch filter mode may need to track and predict interference cluster movement across LPOS samples.

H. System Embodiments

In embodiments, aspects of the present patent document may be directed to or implemented on information handling systems/computing systems. For purposes of this disclosure, a computing system may include any instrumentality or aggregate of instrumentalities operable to compute, calculate, determine, classify, process, transmit, receive, retrieve, originate, route, switch, store, display, communicate, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, or other purposes. For example, a computing system may be a personal computer (e.g., laptop), tablet computer, phablet, personal digital assistant (PDA), smart phone, smart watch, smart package, server (e.g., blade server or rack server), a network storage device, or any other suitable device and may vary in size, shape, performance, functionality, and price. The computing system may include random access memory (RAM), one or more processing resources such as a central processing unit (CPU) or hardware or software control logic, ROM, and/or other types of memory. Additional components of the computing system may include one or more disk drives, one or more network ports for communicating with external devices as well as various input and output (I/O) devices, such as a keyboard, a mouse, touchscreen and/or a video display. The computing system may also include one or more buses operable to transmit communications between the various hardware components.

FIG. 9 depicts a simplified block diagram of a computing device/information handling system (or computing system) according to embodiments of the present disclosure. It will be understood that the functionalities shown for system 900 may operate to support various embodiments of an information handling system—although it shall be understood that an information handling system may be differently configured and include different components.

FIG. 9 depicts a simplified block diagram of a computing device/information handling system (or computing system) according to embodiments of the present document. It will be understood that the functionalities shown for system 900 may operate to support various embodiments of an information handling system—although it shall be understood that an information handling system may be differently configured and include different components.

As illustrated in FIG. 9, system 900 includes one or more central processing units (CPU) 901 that provides computing resources and controls the computer. CPU 901 may be implemented with a microprocessor or the like, and may also include one or more graphics processing units (GPU) 917 and/or a floating point coprocessor for mathematical computations. System 900 may also include a system memory 902, which may be in the form of random-access memory (RAM), read-only memory (ROM), or both.

A number of controllers and peripheral devices may also be provided, as shown in FIG. 9. An input controller 903 represents an interface to various input device(s) 904, such as a keyboard, mouse, or stylus. There may also be a wireless controller 905, which communicates with a wireless device 906. System 900 may also include a storage controller 907 for interfacing with one or more storage devices 908 each of which includes a storage medium such as flash memory, or an optical medium that might be used to record programs of instructions for operating systems, utilities, and applications, which may include embodiments of programs that implement various aspects of the present invention. Storage device(s) 908 may also be used to store processed data or data to be processed in accordance with the invention. System 900 may also include a display controller 909 for providing an interface to a display device 911. The computing system 900 may also include an automotive signal controller 912 for communicating with an automotive system 913. A communications controller 914 may interface with one or more communication devices 915, which enables system 900 to connect to remote devices through any of a variety of networks including an automotive network, the Internet, a cloud resource (e.g., an Ethernet cloud, an Fiber Channel over Ethernet (FCoE)/Data Center Bridging (DCB) cloud, etc.), a local area network (LAN), a wide area network (WAN), a storage area network (SAN) or through any suitable electromagnetic carrier signals including infrared signals.

In the illustrated system, all major system components may connect to a bus 916, which may represent more than one physical bus. However, various system components may or may not be in physical proximity to one another. For example, input data and/or output data may be remotely transmitted from one physical location to another. In addition, programs that implement various aspects of this invention may be accessed from a remote location (e.g., a server) over a network. Such data and/or programs may be conveyed through any of a variety of machine-readable medium including, but are not limited to: magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and holographic devices; magneto-optical media; and hardware devices that are specially configured to store or to store and execute program code, such as application specific integrated circuits (ASICs), programmable logic devices (PLDs), flash memory devices, and ROM and RAM devices.

Embodiments of the present invention may be encoded upon one or more non-transitory computer-readable media with instructions for one or more processors or processing units to cause steps to be performed. It shall be noted that the one or more non-transitory computer-readable media shall include volatile and non-volatile memory. It shall be noted that alternative implementations are possible, including a hardware implementation or a software/hardware implementation. Hardware-implemented functions may be realized using ASIC(s), programmable arrays, digital signal processing circuitry, or the like. Accordingly, the “means” terms in any claims are intended to cover both software and hardware implementations. Similarly, the term “computer-readable medium or media” as used herein includes software and/or hardware having a program of instructions embodied thereon, or a combination thereof. With these implementation alternatives in mind, it is to be understood that the figures and accompanying description provide the functional information one skilled in the art would require to write program code (i.e., software) and/or to fabricate circuits (i.e., hardware) to perform the processing required.

It shall be noted that embodiments of the present invention may further relate to computer products with a non-transitory, tangible computer-readable medium that have computer code thereon for performing various computer-implemented operations. The media and computer code may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind known or available to those having skill in the relevant arts. Examples of tangible computer-readable media include, but are not limited to: magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and holographic devices; magneto-optical media; and hardware devices that are specially configured to store or to store and execute program code, such as application specific integrated circuits (ASICs), programmable logic devices (PLDs), flash memory devices, and ROM and RAM devices. Examples of computer code include machine code, such as produced by a compiler, and files containing higher level code that are executed by a computer using an interpreter. Embodiments of the present invention may be implemented in whole or in part as machine-executable instructions that may be in program modules that are executed by a processing device. Examples of program modules include libraries, programs, routines, objects, components, and data structures. In distributed computing environments, program modules may be physically located in settings that are local, remote, or both.

One skilled in the art will recognize no computing system or programming language is critical to the practice of the present invention. One skilled in the art will also recognize that a number of the elements described above may be physically and/or functionally separated into sub-modules or combined together.

It will be appreciated to those skilled in the art that the preceding examples and embodiments are exemplary and not limiting to the scope of the present disclosure. It is intended that all permutations, enhancements, equivalents, combinations, and improvements thereto that are apparent to those skilled in the art upon a reading of the specification and a study of the drawings are included within the true spirit and scope of the present disclosure. It shall also be noted that elements of any claims may be arranged differently including having multiple dependencies, configurations, and combinations. 

What is claimed is:
 1. A method comprising: initiating, by a LIDAR system, a passive state comprising a suppression of a laser firing by the LIDAR system; receiving, during the passive state, by the LIDAR system, a passive return comprising one or more returns from other optical sources; initiating, by the LIDAR system, an active state comprising another laser firing by the LIDAR system; receiving, during the active state by the LIDAR system, an active return comprising signal returns caused by the laser firing of the LIDAR system and the one or more returns from the other optical sources; comparing, by the LIDAR system, the passive return and the active return; and removing, by the LIDAR system, from the active return, the one or more returns from the other optical sources included in the passive return to mitigate crosstalk.
 2. The method of claim 1, wherein a computer mitigates crosstalk by phase locking two LIDAR systems on a vehicle causing their lasers to fire in different directions from each other.
 3. The method of claim 2, wherein as an angle of separation increases for a firing direction of the two LIDAR systems, mitigation of crosstalk increases for the two LIDAR systems.
 4. The method of claim 2, wherein phase locking mitigates the crosstalk by 50% or more.
 5. The method of claim 1, wherein the other optical sources comprise one or more other LIDAR systems.
 6. The method of claim 1, further comprising: disregarding, by the LIDAR system, reception of a return signal from another LIDAR system on another vehicle when the LIDAR system and the another LIDAR system are firing their laser directly at each other with a field of view for the LIDAR system and the another LIDAR system of less than a field of view threshold.
 7. The method of claim 6, wherein the field of view threshold is ±15 degrees.
 8. The method of claim 6, wherein FOV interference reduction is implemented independent of passive/active interference reduction and phasing locking interference reduction.
 9. The method of claim 1, further comprising: suppressing a firing of the laser of the LIDAR system when the LIDAR system and another LIDAR system are firing their lasers directly at each other with a field of view for the LIDAR system and the another LIDAR system of less than a field of view threshold.
 10. The method of claim 1, further comprising: removing interference peaks from the active return based on a difference in oscillator frequencies of the LIDAR system and another LIDAR system.
 11. The method of claim 1, further comprising: removing interference peaks from the active return based on a difference in velocities of the LIDAR system and another LIDAR system.
 12. The method of claim 1 further comprising: operating in a notch filter mode, wherein in the notch filter mode, the LIDAR system occasionally samples passive returns, creates a selective notch filter for any returns than lie on a same radius as a received passive returns on an interference pattern, and removes artifact from a next active capture.
 13. The method of claim 1, further comprising: operating in a consumer based process mode, wherein in the consumer based process mode, the LIDAR system alternatively samples and passes passive returns with active returns for each firing cycle.
 14. A system comprising: a controller operable to manage a passive state and an active state of a LIDAR system, wherein, in the passive state, the LIDAR system receives return signals, wherein in the active state, the LIDAR system transmits a laser beam and receives return signals; a passive detector operable to generate, in the passive state, a passive return comprising interference signals; and an active detector operable to generate, in the active state, an active return comprises return signals based on the transmitted laser beam of the LIDAR system and interference signals, the interference signals are subsequently removed.
 15. The system of claim 14, wherein the passive detector comprises a receiver coupled to a peak detector.
 16. The system of claim 14, wherein the active detector comprises a receiver, which is coupled to a peak detector, which in turn is coupled to an interference cancellation.
 17. A method comprising: for a LIDAR network comprising intra vehicle LIDAR systems and at least one inter vehicle LIDAR systems: phase locking intra vehicle LIDAR systems; executing a field of view reduction for pairs of inter vehicle LIDAR systems; and executing a sequence of passive states and active states for each LIDAR system.
 18. The method of claim 17, wherein phase locking intra vehicle LIDAR systems comprises directing a laser of each of the intra vehicle LIDAR systems to fire in a different direction from the other intra vehicle LIDAR systems.
 19. The method of claim 17, wherein, when a pair of inter vehicle LIDAR systems are firing their laser beams at each other within a field of view threshold, the pair of inter vehicle LIDAR systems mutually ignore received return signals.
 20. The method of claim 17, further comprising for each of the intra vehicle LIDAR systems and the inter vehicle LIDAR systems: receiving, during a passive state by each LIDAR system, a passive return comprising one or more returns from other optical sources; receiving, during the active state by the each LIDAR system, an active return comprising signal returns caused by a laser firing of the each LIDAR system and the one or more returns from the other optical sources; comparing, by the each LIDAR system, the passive return and the active return; and removing, by the each LIDAR system, from the active return, the one or more returns from the other optical sources included in the passive return to mitigate crosstalk. 